Bo Yu

Orcid: 0000-0003-1197-2764

Affiliations:
  • Chinese Academy of Sciences, Institute of Remote Sensing and Digital Earth, Laboratory of Digital Earth Sciences, Beijing, China


According to our database1, Bo Yu authored at least 27 papers between 2012 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
UGTransformer: A Sheep Extraction Model From Remote Sensing Images for Animal Husbandry Management.
IEEE Trans. Geosci. Remote. Sens., 2024

2022
Res2-Unet, a New Deep Architecture for Building Detection From High Spatial Resolution Images.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022

A Network for Landslide Detection Using Large-Area Remote Sensing Images with Multiple Spatial Resolutions.
Remote. Sens., 2022

A Cluster-Based Partition Method of Remote Sensing Data for Efficient Distributed Image Processing.
Remote. Sens., 2022

A Strategy of Parallel SLIC Superpixels for Handling Large-Scale Images over Apache Spark.
Remote. Sens., 2022

NAU-Net: A New Deep Learning Framework in Glacial Lake Detection.
IEEE Geosci. Remote. Sens. Lett., 2022

Operation Status Comparison Monitoring of China's Southeast Asian Industrial Parks before and after COVID-19 Using Nighttime Lights Data.
ISPRS Int. J. Geo Inf., 2022

SNNFD, spiking neural segmentation network in frequency domain using high spatial resolution images for building extraction.
Int. J. Appl. Earth Obs. Geoinformation, 2022

HADeenNet: A hierarchical-attention multi-scale deconvolution network for landslide detection.
Int. J. Appl. Earth Obs. Geoinformation, 2022

2021
Matrix SegNet: A Practical Deep Learning Framework for Landslide Mapping from Images of Different Areas with Different Spatial Resolutions.
Remote. Sens., 2021

Res2-Unet+, a Practical Oil Tank Detection Network for Large-Scale High Spatial Resolution Images.
Remote. Sens., 2021

ACFNet: A Feature Fusion Network for Glacial Lake Extraction Based on Optical and Synthetic Aperture Radar Images.
Remote. Sens., 2021

A Strategy of Parallel Seed-Based Image Segmentation Algorithms for Handling Massive Image Tiles over the Spark Platform.
Remote. Sens., 2021

2020
Adaptive Seismic Single-Channel Deconvolution via Convolutional Sparse Coding Model.
IEEE Geosci. Remote. Sens. Lett., 2020

Landslide detection based on contour-based deep learning framework in case of national scale of Nepal in 2015.
Comput. Geosci., 2020

2019
A Contextual and Multitemporal Active-Fire Detection Algorithm Based on FengYun-2G S-VISSR Data.
IEEE Trans. Geosci. Remote. Sens., 2019

Exploring the Response Mechanism of Remote Sensing Images in Monitoring Fixed Assets Investment Project in Terms of Building Detection.
IEEE Access, 2019

Earthquake-Induced Building Damage Mapping Based on Multi-Task Deep Learning Framework.
IEEE Access, 2019

2018
Semantic Segmentation for High Spatial Resolution Remote Sensing Images Based on Convolution Neural Network and Pyramid Pooling Module.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018

Validation of synthetic daily Landsat NDVI time series data generated by the improved spatial and temporal data fusion approach.
Inf. Fusion, 2018

2017
FengYun-3C VIRR Active Fire Monitoring: Algorithm Description and Initial Assessment Using MODIS and Landsat Data.
IEEE Trans. Geosci. Remote. Sens., 2017

A Burned Area Mapping Algorithm for Chinese FengYun-3 MERSI Satellite Data.
Remote. Sens., 2017

A new technique for landslide mapping from a large-scale remote sensed image: A case study of Central Nepal.
Comput. Geosci., 2017

Fine crop mapping by combining high spectral and high spatial resolution remote sensing data in complex heterogeneous areas.
Comput. Electron. Agric., 2017

2016
3D Face Detection via Reconstruction Over Hierarchical Features for Single Face Situations.
Int. J. Pattern Recognit. Artif. Intell., 2016

2014
Multi-task deep learning for image understanding.
Proceedings of the 6th International Conference of Soft Computing and Pattern Recognition, 2014

2012
An automatic and effective approach in identifying tower cranes.
Proceedings of the Fourth International Conference on Digital Image Processing, 2012


  Loading...